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IDA
2009
Springer
10 years 9 months ago
Spike Detection and Sorting: Combining Algebraic Differentiations with ICA
A new method for action potentials detection is proposed. The method is based on a numerical differentiation, as recently introduced from operational calculus. We show that it has ...
Zoran Tiganj, Mamadou Mboup
NIPS
2008
11 years 1 months ago
Spike Feature Extraction Using Informative Samples
This paper presents a new spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has...
Zhi Yang, Qi Zhao, Wentai Liu
ICCS
2004
Springer
11 years 5 months ago
Developing a Data Driven System for Computational Neuroscience
Abstract. A data driven system implies the need to integrate data acquisition and signal processing into the same system that will interact with this information. This can be done ...
Ross Snider, Yongming Zhu
ICASSP
2007
IEEE
11 years 6 months ago
Fundamental Detection and Estimation Limits in Spike Sorting
Spike sorting refers to the detection and classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neura...
Mona A. Sheikh, Don H. Johnson
ISCAS
2008
IEEE
84views Hardware» more  ISCAS 2008»
11 years 6 months ago
Pulse-based signal compression for implanted neural recording systems
— Today’s implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either ...
John G. Harris, Jose C. Principe, Justin C. Sanche...
ICASSP
2008
IEEE
11 years 6 months ago
Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
Ilan N. Goodman, Don H. Johnson
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